大系统的模型简化
Model Reduction of Large Scale System
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摘要: 本文对大系统的数学模型简化方法进行了综述,计归纳为五个主要降阶方法:集结法、摄 动法、积分平方误差法、Padé近似法及Routh近似法;并加以比较、评论和展望.附有一个三 阶系统用多种方法计算的简化模型及其性能指标的数字实例.Abstract: This paper surveys the methods of model reduction for large scale systems. Five main aspects are classified, viz. aggregation method，perturbation method, integral square. error method, Pad6 approximation method and Routh approximation method. They are compared and reviewed. A numerical example of 3rd order system with various reduced order models and performance indexes is given.
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